{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "导包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "读入评分数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>196</td>\n",
       "      <td>242</td>\n",
       "      <td>3</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>186</td>\n",
       "      <td>302</td>\n",
       "      <td>3</td>\n",
       "      <td>891717742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22</td>\n",
       "      <td>377</td>\n",
       "      <td>1</td>\n",
       "      <td>878887116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>244</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>880606923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>166</td>\n",
       "      <td>346</td>\n",
       "      <td>1</td>\n",
       "      <td>886397596</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  item_id  rating  timestamp\n",
       "0      196      242       3  881250949\n",
       "1      186      302       3  891717742\n",
       "2       22      377       1  878887116\n",
       "3      244       51       2  880606923\n",
       "4      166      346       1  886397596"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#1）user_id：用户ID\n",
    "#2）movie_id：电影ID\n",
    "#3）rating：用户打分\n",
    "#4）timestamp：表示用户打分的时间\n",
    "triplet_cols = ['user_id','item_id','rating','timestamp']\n",
    "dpath = './data/'\n",
    "df_triplet = pd.read_csv(dpath + 'u.data',sep = '\\t',names = triplet_cols,encoding = 'latin-1')\n",
    "df_triplet.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>880</td>\n",
       "      <td>476</td>\n",
       "      <td>3</td>\n",
       "      <td>880175444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>716</td>\n",
       "      <td>204</td>\n",
       "      <td>5</td>\n",
       "      <td>879795543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99997</th>\n",
       "      <td>276</td>\n",
       "      <td>1090</td>\n",
       "      <td>1</td>\n",
       "      <td>874795795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>13</td>\n",
       "      <td>225</td>\n",
       "      <td>2</td>\n",
       "      <td>882399156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>12</td>\n",
       "      <td>203</td>\n",
       "      <td>3</td>\n",
       "      <td>879959583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user_id  item_id  rating  timestamp\n",
       "99995      880      476       3  880175444\n",
       "99996      716      204       5  879795543\n",
       "99997      276     1090       1  874795795\n",
       "99998       13      225       2  882399156\n",
       "99999       12      203       3  879959583"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_triplet.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100000 entries, 0 to 99999\n",
      "Data columns (total 4 columns):\n",
      "user_id      100000 non-null int64\n",
      "item_id      100000 non-null int64\n",
      "rating       100000 non-null int64\n",
      "timestamp    100000 non-null int64\n",
      "dtypes: int64(4)\n",
      "memory usage: 3.1 MB\n"
     ]
    }
   ],
   "source": [
    "df_triplet.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>196</td>\n",
       "      <td>242</td>\n",
       "      <td>3</td>\n",
       "      <td>1997-12-04 23:55:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>186</td>\n",
       "      <td>302</td>\n",
       "      <td>3</td>\n",
       "      <td>1998-04-05 03:22:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22</td>\n",
       "      <td>377</td>\n",
       "      <td>1</td>\n",
       "      <td>1997-11-07 15:18:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>244</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>1997-11-27 13:02:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>166</td>\n",
       "      <td>346</td>\n",
       "      <td>1</td>\n",
       "      <td>1998-02-02 13:33:16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  item_id  rating           timestamp\n",
       "0      196      242       3 1997-12-04 23:55:49\n",
       "1      186      302       3 1998-04-05 03:22:22\n",
       "2       22      377       1 1997-11-07 15:18:36\n",
       "3      244       51       2 1997-11-27 13:02:03\n",
       "4      166      346       1 1998-02-02 13:33:16"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_triplet['timestamp'].astype('float64')\n",
    "df_triplet['timestamp'] = df_triplet['timestamp'].map(datetime.datetime.fromtimestamp)\n",
    "df_triplet.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算用户数目和电影数目"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of users = 943\n",
      "Number of movies = 1682\n"
     ]
    }
   ],
   "source": [
    "n_users = df_triplet['user_id'].unique().shape[0]\n",
    "n_items = df_triplet['item_id'].unique().shape[0]\n",
    "print('Number of users = ' + str(n_users))\n",
    "print('Number of movies = ' + str(n_items))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算每个用户的评分次数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "405    737\n",
       "655    685\n",
       "13     636\n",
       "450    540\n",
       "276    518\n",
       "Name: user_id, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_freq = df_triplet['user_id'].value_counts()\n",
    "user_freq.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 943 artists>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(user_freq.index,user_freq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([405, 655,  13, 450, 276, 416, 537, 303, 234, 393,\n",
       "            ...\n",
       "             93, 732, 475, 571, 596, 147,  19, 572, 636, 895],\n",
       "           dtype='int64', length=943)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_freq.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50     583\n",
       "258    509\n",
       "100    508\n",
       "181    507\n",
       "294    485\n",
       "Name: item_id, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "items_rating_times = df_triplet['item_id'].value_counts()\n",
    "items_rating_times.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(items_rating_times.index,items_rating_times)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#按评分次数排列\n",
    "items_rating_times1 = items_rating_times.copy()\n",
    "items_rating_times1.index = range(items_rating_times1.count()) # 对索引重新赋值，方便画图\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "items_rating_times1.plot(ax=ax, title='Rating Times');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>title</th>\n",
       "      <th>release_date</th>\n",
       "      <th>video_release_date</th>\n",
       "      <th>imdb_url</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Animation</th>\n",
       "      <th>Children's</th>\n",
       "      <th>...</th>\n",
       "      <th>Fantasy</th>\n",
       "      <th>Film-Noir</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Musical</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>01-Jan-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>GoldenEye (1995)</td>\n",
       "      <td>01-Jan-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Four Rooms (1995)</td>\n",
       "      <td>01-Jan-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Get Shorty (1995)</td>\n",
       "      <td>01-Jan-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Copycat (1995)</td>\n",
       "      <td>01-Jan-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_id              title release_date  video_release_date  \\\n",
       "0        1   Toy Story (1995)  01-Jan-1995                 NaN   \n",
       "1        2   GoldenEye (1995)  01-Jan-1995                 NaN   \n",
       "2        3  Four Rooms (1995)  01-Jan-1995                 NaN   \n",
       "3        4  Get Shorty (1995)  01-Jan-1995                 NaN   \n",
       "4        5     Copycat (1995)  01-Jan-1995                 NaN   \n",
       "\n",
       "                                            imdb_url  unknown  Action  \\\n",
       "0  http://us.imdb.com/M/title-exact?Toy%20Story%2...        0       0   \n",
       "1  http://us.imdb.com/M/title-exact?GoldenEye%20(...        0       1   \n",
       "2  http://us.imdb.com/M/title-exact?Four%20Rooms%...        0       0   \n",
       "3  http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n",
       "4  http://us.imdb.com/M/title-exact?Copycat%20(1995)        0       0   \n",
       "\n",
       "   Adventure  Animation  Children's   ...     Fantasy  Film-Noir  Horror  \\\n",
       "0          0          1           1   ...           0          0       0   \n",
       "1          1          0           0   ...           0          0       0   \n",
       "2          0          0           0   ...           0          0       0   \n",
       "3          0          0           0   ...           0          0       0   \n",
       "4          0          0           0   ...           0          0       0   \n",
       "\n",
       "   Musical  Mystery  Romance  Sci-Fi  Thriller  War  Western  \n",
       "0        0        0        0       0         0    0        0  \n",
       "1        0        0        0       0         1    0        0  \n",
       "2        0        0        0       0         1    0        0  \n",
       "3        0        0        0       0         0    0        0  \n",
       "4        0        0        0       0         1    0        0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item_cols = ['item_id', 'title', 'release_date', 'video_release_date', 'imdb_url', 'unknown', 'Action', 'Adventure',\n",
    " 'Animation', 'Children\\'s', 'Comedy', 'Crime', 'Documentary', 'Drama', 'Fantasy',\n",
    " 'Film-Noir', 'Horror', 'Musical', 'Mystery', 'Romance', 'Sci-Fi', 'Thriller', 'War', 'Western']\n",
    "dpath = './data/'\n",
    "df_items = pd.read_csv(dpath + 'u.item',sep = '|',names=item_cols,encoding = 'latin-1')\n",
    "df_items.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating_times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>258</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>100</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>181</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>294</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     item_id  rating_times\n",
       "50        50           583\n",
       "258      258           509\n",
       "100      100           508\n",
       "181      181           507\n",
       "294      294           485"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_items_sorted_by_rating_times = pd.DataFrame({'item_id':items_rating_times.index, 'rating_times':items_rating_times})\n",
    "df_items_sorted_by_rating_times.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating_times</th>\n",
       "      <th>title</th>\n",
       "      <th>release_date</th>\n",
       "      <th>video_release_date</th>\n",
       "      <th>imdb_url</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Animation</th>\n",
       "      <th>...</th>\n",
       "      <th>Film-Noir</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Musical</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "      <th>ranking_rating_times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50</td>\n",
       "      <td>583</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "      <td>01-Jan-1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Star%20Wars%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>258</td>\n",
       "      <td>509</td>\n",
       "      <td>Contact (1997)</td>\n",
       "      <td>11-Jul-1997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/Title?Contact+(1997/I)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>508</td>\n",
       "      <td>Fargo (1996)</td>\n",
       "      <td>14-Feb-1997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Fargo%20(1996)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>181</td>\n",
       "      <td>507</td>\n",
       "      <td>Return of the Jedi (1983)</td>\n",
       "      <td>14-Mar-1997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Return%20of%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>294</td>\n",
       "      <td>485</td>\n",
       "      <td>Liar Liar (1997)</td>\n",
       "      <td>21-Mar-1997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/Title?Liar+Liar+(1997)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_id  rating_times                      title release_date  \\\n",
       "0       50           583           Star Wars (1977)  01-Jan-1977   \n",
       "1      258           509             Contact (1997)  11-Jul-1997   \n",
       "2      100           508               Fargo (1996)  14-Feb-1997   \n",
       "3      181           507  Return of the Jedi (1983)  14-Mar-1997   \n",
       "4      294           485           Liar Liar (1997)  21-Mar-1997   \n",
       "\n",
       "   video_release_date                                           imdb_url  \\\n",
       "0                 NaN  http://us.imdb.com/M/title-exact?Star%20Wars%2...   \n",
       "1                 NaN          http://us.imdb.com/Title?Contact+(1997/I)   \n",
       "2                 NaN    http://us.imdb.com/M/title-exact?Fargo%20(1996)   \n",
       "3                 NaN  http://us.imdb.com/M/title-exact?Return%20of%2...   \n",
       "4                 NaN          http://us.imdb.com/Title?Liar+Liar+(1997)   \n",
       "\n",
       "   unknown  Action  Adventure  Animation          ...           Film-Noir  \\\n",
       "0        0       1          1          0          ...                   0   \n",
       "1        0       0          0          0          ...                   0   \n",
       "2        0       0          0          0          ...                   0   \n",
       "3        0       1          1          0          ...                   0   \n",
       "4        0       0          0          0          ...                   0   \n",
       "\n",
       "   Horror  Musical  Mystery  Romance  Sci-Fi  Thriller  War  Western  \\\n",
       "0       0        0        0        1       1         0    1        0   \n",
       "1       0        0        0        0       1         0    0        0   \n",
       "2       0        0        0        0       0         1    0        0   \n",
       "3       0        0        0        1       1         0    1        0   \n",
       "4       0        0        0        0       0         0    0        0   \n",
       "\n",
       "   ranking_rating_times  \n",
       "0                     0  \n",
       "1                     1  \n",
       "2                     2  \n",
       "3                     3  \n",
       "4                     4  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_items_sorted_by_rating_times_merge = pd.merge(df_items_sorted_by_rating_times,df_items,how='left',left_on='item_id',right_on='item_id')\n",
    "df_items_sorted_by_rating_times_merge['ranking_rating_times'] = range(items_rating_times.count())\n",
    "df_items_sorted_by_rating_times_merge.head()\n",
    "#items_rating_times.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "popular_items_count_top_20 = df_items_sorted_by_rating_times_merge.iloc[0:20]['rating_times']\n",
    "popular_items_top_20_titles =  df_items_sorted_by_rating_times_merge.iloc[0:20]['title']\n",
    "\n",
    "objects = (list(popular_items_top_20_titles))\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = list(popular_items_count_top_20)\n",
    "\n",
    "plt.rcdefaults()\n",
    "plt.bar(y_pos,performance,align='center',alpha=0.5)\n",
    "plt.xticks(y_pos,objects,rotation='vertical')\n",
    "plt.ylabel('Rating Count')\n",
    "plt.title('Most popular Movies')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算每个电影的收欢迎程度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>mean_rating</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>1293</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>1467</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1653</th>\n",
       "      <td>1653</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>814</th>\n",
       "      <td>814</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>1122</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         item_id  mean_rating\n",
       "item_id                      \n",
       "1293        1293          5.0\n",
       "1467        1467          5.0\n",
       "1653        1653          5.0\n",
       "814          814          5.0\n",
       "1122        1122          5.0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "items_mean_rating = df_triplet['rating'].groupby(df_triplet['item_id']).mean()\n",
    "items_mean_rating = items_mean_rating.sort_values(ascending=False)\n",
    "\n",
    "df_items_sorted_by_mean_rating =  pd.DataFrame({'item_id':items_mean_rating.index,'mean_rating':items_mean_rating})\n",
    "df_items_sorted_by_mean_rating.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\install\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3267: FutureWarning: 'item_id' is both an index level and a column label.\n",
      "Defaulting to column, but this will raise an ambiguity error in a future version\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>mean_rating</th>\n",
       "      <th>rating_times</th>\n",
       "      <th>title</th>\n",
       "      <th>release_date</th>\n",
       "      <th>video_release_date</th>\n",
       "      <th>imdb_url</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>...</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Musical</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "      <th>ranking_rating_times</th>\n",
       "      <th>ranking_mean_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1293</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Star Kid (1997)</td>\n",
       "      <td>16-Jan-1998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?imdb-title-12...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1450</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1467</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Saint of Fort Washington, The (1993)</td>\n",
       "      <td>01-Jan-1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Saint%20of%20...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1483</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1653</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Entertaining Angels: The Dorothy Day Story (1996)</td>\n",
       "      <td>27-Sep-1996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Entertaining%...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1652</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>814</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Great Day in Harlem, A (1994)</td>\n",
       "      <td>01-Jan-1994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Great%20Day%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1661</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1122</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>They Made Me a Criminal (1939)</td>\n",
       "      <td>01-Jan-1939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?They%20Made%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1615</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_id  mean_rating  rating_times  \\\n",
       "0     1293          5.0             3   \n",
       "1     1467          5.0             2   \n",
       "2     1653          5.0             1   \n",
       "3      814          5.0             1   \n",
       "4     1122          5.0             1   \n",
       "\n",
       "                                               title release_date  \\\n",
       "0                                    Star Kid (1997)  16-Jan-1998   \n",
       "1               Saint of Fort Washington, The (1993)  01-Jan-1993   \n",
       "2  Entertaining Angels: The Dorothy Day Story (1996)  27-Sep-1996   \n",
       "3                      Great Day in Harlem, A (1994)  01-Jan-1994   \n",
       "4                     They Made Me a Criminal (1939)  01-Jan-1939   \n",
       "\n",
       "   video_release_date                                           imdb_url  \\\n",
       "0                 NaN  http://us.imdb.com/M/title-exact?imdb-title-12...   \n",
       "1                 NaN  http://us.imdb.com/M/title-exact?Saint%20of%20...   \n",
       "2                 NaN  http://us.imdb.com/M/title-exact?Entertaining%...   \n",
       "3                 NaN  http://us.imdb.com/M/title-exact?Great%20Day%2...   \n",
       "4                 NaN  http://us.imdb.com/M/title-exact?They%20Made%2...   \n",
       "\n",
       "   unknown  Action  Adventure        ...          Horror  Musical  Mystery  \\\n",
       "0        0       0          1        ...               0        0        0   \n",
       "1        0       0          0        ...               0        0        0   \n",
       "2        0       0          0        ...               0        0        0   \n",
       "3        0       0          0        ...               0        0        0   \n",
       "4        0       0          0        ...               0        0        0   \n",
       "\n",
       "   Romance  Sci-Fi  Thriller  War  Western  ranking_rating_times  \\\n",
       "0        0       1         0    0        0                  1450   \n",
       "1        0       0         0    0        0                  1483   \n",
       "2        0       0         0    0        0                  1652   \n",
       "3        0       0         0    0        0                  1661   \n",
       "4        0       0         0    0        0                  1615   \n",
       "\n",
       "   ranking_mean_rate  \n",
       "0                  0  \n",
       "1                  1  \n",
       "2                  2  \n",
       "3                  3  \n",
       "4                  4  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_items_sorted_by_mean_rating_merge = pd.merge(df_items_sorted_by_mean_rating,df_items_sorted_by_rating_times_merge,how='left',left_on='item_id',right_on='item_id')\n",
    "df_items_sorted_by_mean_rating_merge['ranking_mean_rate'] = range(items_mean_rating.count())\n",
    "df_items_sorted_by_mean_rating_merge.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 前二十大流行电影\n",
    "popular_items_count_top_20 = df_items_sorted_by_mean_rating_merge.iloc[0:20]['mean_rating']\n",
    "popular_items_top_20_titles =  df_items_sorted_by_mean_rating_merge.iloc[0:20]['title']\n",
    "\n",
    "objects = (list(popular_items_top_20_titles))\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = list(popular_items_count_top_20)\n",
    " \n",
    "plt.rcdefaults()    \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5)\n",
    "plt.xticks(y_pos, objects, rotation='vertical')\n",
    "plt.ylabel('Mean Rating')\n",
    "plt.title('Most popular Movies')\n",
    " \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>mean_rating</th>\n",
       "      <th>rating_times</th>\n",
       "      <th>title</th>\n",
       "      <th>release_date</th>\n",
       "      <th>video_release_date</th>\n",
       "      <th>imdb_url</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>...</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Musical</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "      <th>ranking_rating_times</th>\n",
       "      <th>ranking_mean_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>408</td>\n",
       "      <td>4.491071</td>\n",
       "      <td>112</td>\n",
       "      <td>Close Shave, A (1995)</td>\n",
       "      <td>28-Apr-1996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Close%20Shave...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>305</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>318</td>\n",
       "      <td>4.466443</td>\n",
       "      <td>298</td>\n",
       "      <td>Schindler's List (1993)</td>\n",
       "      <td>01-Jan-1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Schindler's%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>169</td>\n",
       "      <td>4.466102</td>\n",
       "      <td>118</td>\n",
       "      <td>Wrong Trousers, The (1993)</td>\n",
       "      <td>01-Jan-1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Wrong%20Trous...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>286</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>483</td>\n",
       "      <td>4.456790</td>\n",
       "      <td>243</td>\n",
       "      <td>Casablanca (1942)</td>\n",
       "      <td>01-Jan-1942</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Casablanca%20...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>114</td>\n",
       "      <td>4.447761</td>\n",
       "      <td>67</td>\n",
       "      <td>Wallace &amp; Gromit: The Best of Aardman Animatio...</td>\n",
       "      <td>05-Apr-1996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/Title?Wallace+%26+Gromit%3A...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>483</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>64</td>\n",
       "      <td>4.445230</td>\n",
       "      <td>283</td>\n",
       "      <td>Shawshank Redemption, The (1994)</td>\n",
       "      <td>01-Jan-1994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Shawshank%20R...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>603</td>\n",
       "      <td>4.387560</td>\n",
       "      <td>209</td>\n",
       "      <td>Rear Window (1954)</td>\n",
       "      <td>01-Jan-1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Rear%20Window...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>12</td>\n",
       "      <td>4.385768</td>\n",
       "      <td>267</td>\n",
       "      <td>Usual Suspects, The (1995)</td>\n",
       "      <td>14-Aug-1995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Usual%20Suspe...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50</td>\n",
       "      <td>4.358491</td>\n",
       "      <td>583</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "      <td>01-Jan-1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Star%20Wars%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>178</td>\n",
       "      <td>4.344000</td>\n",
       "      <td>125</td>\n",
       "      <td>12 Angry Men (1957)</td>\n",
       "      <td>01-Jan-1957</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?12%20Angry%20...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>263</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    item_id  mean_rating  rating_times  \\\n",
       "15      408     4.491071           112   \n",
       "16      318     4.466443           298   \n",
       "17      169     4.466102           118   \n",
       "18      483     4.456790           243   \n",
       "19      114     4.447761            67   \n",
       "20       64     4.445230           283   \n",
       "21      603     4.387560           209   \n",
       "22       12     4.385768           267   \n",
       "23       50     4.358491           583   \n",
       "24      178     4.344000           125   \n",
       "\n",
       "                                                title release_date  \\\n",
       "15                              Close Shave, A (1995)  28-Apr-1996   \n",
       "16                            Schindler's List (1993)  01-Jan-1993   \n",
       "17                         Wrong Trousers, The (1993)  01-Jan-1993   \n",
       "18                                  Casablanca (1942)  01-Jan-1942   \n",
       "19  Wallace & Gromit: The Best of Aardman Animatio...  05-Apr-1996   \n",
       "20                   Shawshank Redemption, The (1994)  01-Jan-1994   \n",
       "21                                 Rear Window (1954)  01-Jan-1954   \n",
       "22                         Usual Suspects, The (1995)  14-Aug-1995   \n",
       "23                                   Star Wars (1977)  01-Jan-1977   \n",
       "24                                12 Angry Men (1957)  01-Jan-1957   \n",
       "\n",
       "    video_release_date                                           imdb_url  \\\n",
       "15                 NaN  http://us.imdb.com/M/title-exact?Close%20Shave...   \n",
       "16                 NaN  http://us.imdb.com/M/title-exact?Schindler's%2...   \n",
       "17                 NaN  http://us.imdb.com/M/title-exact?Wrong%20Trous...   \n",
       "18                 NaN  http://us.imdb.com/M/title-exact?Casablanca%20...   \n",
       "19                 NaN  http://us.imdb.com/Title?Wallace+%26+Gromit%3A...   \n",
       "20                 NaN  http://us.imdb.com/M/title-exact?Shawshank%20R...   \n",
       "21                 NaN  http://us.imdb.com/M/title-exact?Rear%20Window...   \n",
       "22                 NaN  http://us.imdb.com/M/title-exact?Usual%20Suspe...   \n",
       "23                 NaN  http://us.imdb.com/M/title-exact?Star%20Wars%2...   \n",
       "24                 NaN  http://us.imdb.com/M/title-exact?12%20Angry%20...   \n",
       "\n",
       "    unknown  Action  Adventure        ...          Horror  Musical  Mystery  \\\n",
       "15        0       0          0        ...               0        0        0   \n",
       "16        0       0          0        ...               0        0        0   \n",
       "17        0       0          0        ...               0        0        0   \n",
       "18        0       0          0        ...               0        0        0   \n",
       "19        0       0          0        ...               0        0        0   \n",
       "20        0       0          0        ...               0        0        0   \n",
       "21        0       0          0        ...               0        0        1   \n",
       "22        0       0          0        ...               0        0        0   \n",
       "23        0       1          1        ...               0        0        0   \n",
       "24        0       0          0        ...               0        0        0   \n",
       "\n",
       "    Romance  Sci-Fi  Thriller  War  Western  ranking_rating_times  \\\n",
       "15        0       0         1    0        0                   305   \n",
       "16        0       0         0    1        0                    34   \n",
       "17        0       0         0    0        0                   286   \n",
       "18        1       0         0    1        0                    74   \n",
       "19        0       0         0    0        0                   483   \n",
       "20        0       0         0    0        0                    46   \n",
       "21        0       0         1    0        0                   106   \n",
       "22        0       0         1    0        0                    55   \n",
       "23        1       1         0    1        0                     0   \n",
       "24        0       0         0    0        0                   263   \n",
       "\n",
       "    ranking_mean_rate  \n",
       "15                 15  \n",
       "16                 16  \n",
       "17                 17  \n",
       "18                 18  \n",
       "19                 19  \n",
       "20                 20  \n",
       "21                 21  \n",
       "22                 22  \n",
       "23                 23  \n",
       "24                 24  \n",
       "\n",
       "[10 rows x 28 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#去掉评分次数<20次的电影\n",
    "df_items_sorted_by_mean_rating_merge2 = df_items_sorted_by_mean_rating_merge[df_items_sorted_by_mean_rating_merge.rating_times>20]\n",
    "df_items_sorted_by_mean_rating_merge2.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 前二十大流行电影\n",
    "popular_items_count_top_20 = df_items_sorted_by_mean_rating_merge2.iloc[0:20]['mean_rating']\n",
    "popular_items_top_20_titles =  df_items_sorted_by_mean_rating_merge2.iloc[0:20]['title']\n",
    "\n",
    "objects = (list(popular_items_top_20_titles))\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = list(popular_items_count_top_20)\n",
    " \n",
    "plt.rcdefaults()    \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5)\n",
    "plt.xticks(y_pos, objects, rotation='vertical')\n",
    "plt.ylabel('Mean Rating')\n",
    "plt.title('Most popular songs')\n",
    " \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 4))\n",
    "ax.scatter(df_items_sorted_by_mean_rating_merge['rating_times'],df_items_sorted_by_mean_rating_merge['mean_rating']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>mean_rating</th>\n",
       "      <th>rating_times</th>\n",
       "      <th>title</th>\n",
       "      <th>release_date</th>\n",
       "      <th>video_release_date</th>\n",
       "      <th>imdb_url</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>...</th>\n",
       "      <th>Musical</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "      <th>ranking_rating_times</th>\n",
       "      <th>ranking_mean_rate</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1293</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Star Kid (1997)</td>\n",
       "      <td>16-Jan-1998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?imdb-title-12...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1450</td>\n",
       "      <td>0</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1467</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Saint of Fort Washington, The (1993)</td>\n",
       "      <td>01-Jan-1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Saint%20of%20...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1483</td>\n",
       "      <td>1</td>\n",
       "      <td>1993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1653</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Entertaining Angels: The Dorothy Day Story (1996)</td>\n",
       "      <td>27-Sep-1996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Entertaining%...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1652</td>\n",
       "      <td>2</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>814</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Great Day in Harlem, A (1994)</td>\n",
       "      <td>01-Jan-1994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?Great%20Day%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1661</td>\n",
       "      <td>3</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1122</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>They Made Me a Criminal (1939)</td>\n",
       "      <td>01-Jan-1939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://us.imdb.com/M/title-exact?They%20Made%2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1615</td>\n",
       "      <td>4</td>\n",
       "      <td>1939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_id  mean_rating  rating_times  \\\n",
       "0     1293          5.0             3   \n",
       "1     1467          5.0             2   \n",
       "2     1653          5.0             1   \n",
       "3      814          5.0             1   \n",
       "4     1122          5.0             1   \n",
       "\n",
       "                                               title release_date  \\\n",
       "0                                    Star Kid (1997)  16-Jan-1998   \n",
       "1               Saint of Fort Washington, The (1993)  01-Jan-1993   \n",
       "2  Entertaining Angels: The Dorothy Day Story (1996)  27-Sep-1996   \n",
       "3                      Great Day in Harlem, A (1994)  01-Jan-1994   \n",
       "4                     They Made Me a Criminal (1939)  01-Jan-1939   \n",
       "\n",
       "   video_release_date                                           imdb_url  \\\n",
       "0                 NaN  http://us.imdb.com/M/title-exact?imdb-title-12...   \n",
       "1                 NaN  http://us.imdb.com/M/title-exact?Saint%20of%20...   \n",
       "2                 NaN  http://us.imdb.com/M/title-exact?Entertaining%...   \n",
       "3                 NaN  http://us.imdb.com/M/title-exact?Great%20Day%2...   \n",
       "4                 NaN  http://us.imdb.com/M/title-exact?They%20Made%2...   \n",
       "\n",
       "   unknown  Action  Adventure  ...   Musical  Mystery  Romance  Sci-Fi  \\\n",
       "0        0       0          1  ...         0        0        0       1   \n",
       "1        0       0          0  ...         0        0        0       0   \n",
       "2        0       0          0  ...         0        0        0       0   \n",
       "3        0       0          0  ...         0        0        0       0   \n",
       "4        0       0          0  ...         0        0        0       0   \n",
       "\n",
       "   Thriller  War  Western  ranking_rating_times  ranking_mean_rate  year  \n",
       "0         0    0        0                  1450                  0  1997  \n",
       "1         0    0        0                  1483                  1  1993  \n",
       "2         0    0        0                  1652                  2  1996  \n",
       "3         0    0        0                  1661                  3  1994  \n",
       "4         0    0        0                  1615                  4  1939  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用正则表达式取出上映年份\n",
    "df_items_sorted_by_mean_rating_merge['year'] = df_items_sorted_by_mean_rating_merge.title.str.extract('(\\((\\d{4})\\))', expand=True).iloc[:,1] \n",
    "df_items_sorted_by_mean_rating_merge.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#统计每年上映的电影数目，默认是降序排列\n",
    "items_sorted_by_year = df_items_sorted_by_mean_rating_merge['year'].value_counts() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c184f94710>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 12))\n",
    "items_sorted_by_year.plot(kind='bar', title='freq')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
